Graph-based methods are computational techniques that utilize graph structures to represent and analyze data relationships, often employed in image segmentation and classification tasks. These methods leverage the connectivity and topology of data points, allowing for more sophisticated modeling of complex patterns within images. By transforming image data into a graph representation, it becomes easier to segment regions and classify different elements based on their relationships and similarities.
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